Preparing policy and technology for data sharing and reuse in the AI era

This author proposes follow-up research for the 2024 KISTI-GreyNet joint study on global information repositories. The preliminary study aimed to find shareable knowledge using institutional collaboration and AI, noting respondents' recognition of AI's role in data curation and user service improvement. The author, as a GreyNet member, suggests forming an interest group within GreyNet to discuss AI-driven data sharing and utilization. This group will address practical policy and technology issues, seeking solutions through member case presentations in policy, technology, system, and regulation. The results of the interest group activities will be promoted as specific activities for data sharing cooperation. The results will be delivered at the next GreyNet conference. We ask for your interest and participation. To help readers understand the activity plan of this stakeholder group, the author would like to present data-related issues that need to be addressed in the AI era by citing KISTI-owned data, data processing AI technology, and data utilization cases.